Design, build, and maintain Python-based services and AWS data pipelines to compute and validate autonomy performance metrics. Translate system-level safety requirements into production implementations, process telemetry and validation data, implement release validation logic, debug pipeline and telemetry issues, and contribute to workflow orchestration, code reviews, and cross-functional design.
About the Role
Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a Senior Software Engineer on the Metrics for Release (MFR) team, you will play a key role in translating business and system requirements into production-ready software that evaluates autonomy performance and supports release readiness.
This role will work across the entire MFR ecosystem, partnering with requirements and systems teams to take high-level safety and performance goals (SPI requirements) and turn them into scalable, reliable pipelines and services.
Your work will directly impact how we measure, validate, and ultimately ship autonomy safely at scale.
What You’ll Do
Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a Senior Software Engineer on the Metrics for Release (MFR) team, you will play a key role in translating business and system requirements into production-ready software that evaluates autonomy performance and supports release readiness.
This role will work across the entire MFR ecosystem, partnering with requirements and systems teams to take high-level safety and performance goals (SPI requirements) and turn them into scalable, reliable pipelines and services.
Your work will directly impact how we measure, validate, and ultimately ship autonomy safely at scale.
What You’ll Do
- Translate SPI and system-level requirements into technical designs and production implementations.
- Build and maintain Python-based services and AWS data pipelines supporting metrics and validation workflows.
- Work closely with requirements, systems, and validation teams to ensure accurate implementation of safety and performance metrics.
- Process and analyze vehicle telemetry and validation data to produce meaningful system signals.
- Implement release validation logic tied to automated testing and evaluation pipelines.
- Debug and resolve issues across data pipelines, telemetry flows, and metric computation systems.
- Contribute to workflow orchestration and automation systems (Temporal or similar).
- Participate in design discussions, code reviews, and continuous improvement of engineering practices.
What You’ll Need
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or related field plus 6+ years of relevant experience, OR Master’s degree & 3+ years, OR PhD & 1+ years.
- Strong Python development experience.
- Strong experience working with AWS (S3, Lambda, ECS, Step Functions, etc.).
- Experience building or maintaining data pipelines or backend systems
- Ability to take ambiguous or high-level requirements and translate them into working software.
- Experience debugging complex systems using logs, telemetry, and data.
- Strong problem-solving skills and ability to work cross-functionally.
Nice to Have
- Experience with Temporal or similar workflow orchestration tools.
- Experience working with telemetry, event data, or time-series datasets.
- Automotive or autonomous systems experience.
- Experience building validation, metrics, or release-related systems.
- Exposure to safety-critical or high-reliability environments.
Hiring Range for Job Opening
US Pay Range
$160,800—$193,000 USD
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm insurance sales leads, consult with customers to match coverages, convert leads to policyholders, complete paid licensing and remote training, work scheduled shifts including weekends, and maintain required work-from-home technology and space.
Top Skills:
Dsl)FiberHigh-Speed Internet (CablePc
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
Digital Media • Information Technology • News + Entertainment
Manage and grow a portfolio of local clients by designing and presenting data-informed, multi-platform advertising strategies across linear, streaming, and digital channels. Prospect and maintain client relationships, drive revenue and pipeline, forecast and report, collaborate cross-functionally for campaign execution, use attribution insights to optimize performance, and deliver consultative sales solutions to meet business objectives.
Top Skills:
CRMFreewheel
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
